Coaching competency and (exploratory) structural equation modeling: Asubstantive-methodological synergy

Psychology of Sport and Exercise

Volumn 14, Issue 5, 2013, Pages 709-718

  Myers, Nicholas D ^a  

^a UNIVERSITY OF MIAMI   (United States)

Author keywords

Athlete's evaluations; Categorical data; Coaching effectiveness; Geomin; Target

Indexed keywords

EID: 84878840512     PISSN: 14690292     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.psychsport.2013.04.008     Document Type: Article

References (53)

1. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education Standards for educational and psychological testing 1999, American Educational Research Association, Washington, DC.
2. Asparouhov T., Muthén B.O. Exploratory structural equation modeling. Structural Equation Modeling 2009, 16:397-438. 10.1080/10705510903008204.
3. Asparouhov T., Muthén B.O. Simple second order chi-square correction 2010, Retrieved from. http://www.statmodel.com/download/WLSMV_new_chi21.pdf.
4. Bandura A. Self-efficacy: The exercise of control 1997, Freeman, New York.
5. Bollen K.A. Structural equations with latent variables 1989, Wiley, New York.
6. Bosselut G., Heuzé J.-P., Eys M.A., Fontayne P., Sarrazin P. Athletes' perceptions of role ambiguity and coaching competency in sport teams: a multilevel analysis. Journal of Sport & Exercise Psychology 2012, 34:345-364. PubMed.
7. Browne M.W. An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research 2001, 36:111-150. 10.1207/S15327906MBR3601_05.
8. Feltz D.L., Chase M.A., Moritz S.E., Sullivan P.J. Aconceptual model of coaching efficacy: preliminary investigation and instrument development. Journal of Educational Psychology 1999, 91:765-776. 10.1037/0022-0663.91.4.765.
9. Finney, S. J., & DiStefano, C. (2006). Nonnormal and categorical data in structural equation modeling. In R. C. Serlin (Series Ed.) & G. R. Hancock, & R. O. Mueller (Vol. Eds.), Structural equation modeling: A second course (pp. 269-313).
10. Garrido L.E., Abad F.J., Ponsoda V. Anew look at Horn's parallel analysis with ordinal variables. Psychological Methods 2012, Advance online publication, Greenwich, CT: Information Age. 10.1037/a0030005.
11. Hayashi K., Bentler P.M., Yuan K. On the likelihood ratio test for the number of factors in exploratory factor analysis. Structural Equation Modeling 2007, 14:505-526. 10.1080/10705510701301891.
12. Horn J.L. A rationale and test for the number of factors in factor analysis. Psychometrika 1965, 30:179-185.
13. Horn T.S. Coaching effectiveness in the sports domain. Advances in sport psychology 2002, 309-354. 2nd ed. T.S. Horn (Ed.).
14. Hox J.J., Maas C.J.M. The accuracy of multilevel structural equation modeling with pseudobalanced groups and small samples. Structural Equation Modeling 2001, 8:157-174. Champaign, IL: Human Kinetics. 10.1207/S15328007SEM0802_1.
15. Hu L., Bentler P.M. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling 1999, 6:1-55. 10.1080/10705519909540118.
16. Jackson D.L., Gillaspy J.A., Purc-Stephenson R. Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychological Methods 2009, 14:6-23. 10.1037/a0014694.
17. Jöreskog K.G. Ageneral approach to confirmatory maximum-likelihood factor analysis. Psychometrika 1969, 34:183-202. 10.1007/BF02289343.
18. Julian M.W. The consequences of ignoring multilevel data structures in nonhierarchical covariance modeling. Structural Equation Modeling 2001, 8:325-352. 10.1207/S15328007SEM0803_1.
19. Kaplan D. The impact of specification error on the estimation, testing, and improvement of structural equation models. Multivariate Behavioral Research 1988, 23:467-482. 10.1207/s15327906mbr2301_4.
20. MacCallum R.C., Roznowski M., Necowitz L.B. Model modifications in covariance structure analysis: the problem of capitalization on chance. Psychological Bulletin 1992, 111:490-504. 10.1037/0033-2909.111.3.490.
21. Marsh H.W., Hau K.-T. Application of latent variable models in educational psychology: the need for methodological-substantive synergies. Contemporary Educational Psychology 2007, 32:151-171. 10.1016/j.cedpsych.2006.10.008.
22. Marsh H.W., Hau K.T., Wen Z. In search of golden rules: comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralising Hu & Bentler's (1999) findings. Structural Equation Modeling 2004, 11:320-341. 10.1207/s15328007sem1103_2.
23. Marsh H.W., Lüdtke O., Nagengast B., Trautwein U., Morin A.J.S., Abduljabbar A.S., et al. Classroom climate and contextual effects: conceptual and methodological issues in the evaluation of group-level effects. Educational Psychologist 2012, 47:106-124. 10.1080/00461520.2012.670488.
24. Marsh H.W., Muthén B.O., Asparouhov T., Lüdtke O., Robitzsch A., Morin A.J., et al. Exploratory structural equation modeling, integrating CFA and EFA: application to students' evaluations of university teaching. Structural Equation Modeling 2009, 16:439-476. 10.1080/10705510903008220.
25. Millsap R.E. Statistical approaches to measurement invariance 2011, Routledge, New York.
26. Millsap R.E., Yun-Tien J. Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research 2004, 39:479-515. 10.1207/S15327906MBR3903_4.
27. Morin A.J.S., Maïano C. Cross-validation of the short form of the physical self-inventory (PSI-18) using exploratory structural equation modeling (ESEM). Psychology of Sport and Exercise 2011, 12:540-554. 10.1016/j.psychsport.2011.04.003.
28. Morin A.J.S., Marsh H.W., Nagengast B. Exploratory structural equation modeling. Structural equation modeling: A second course 2013, 395-436. Information Age Publishing, Inc, Charlotte, NC. 2nd ed. G.R. Hancock, R.O. Mueller (Eds.).
29. Muthén B.O. Ageneral structural equation model with dichotomous, ordered categorical, and continuous latent variable indictors. Psychometrika 1984, 49:115-132. 10.1007/BF02294210.
30. Muthén B.O. Multilevel covariance structure analysis. Sociological Methods & Research 1994, 22:376-398. 10.1177/0049124194022003006.
31. Muthén L.K., Muthén B.O. Mplus user's guide 1998-2010, Muthén & Muthén, Los Angeles, CA, Retrieved from. http://www.statmodel.com/ugexcerpts.shtml, 6th ed.
32. Myers N.D., Ahn S., Jin Y. Sample size and power estimates for a confirmatory factor analytic model in exercise and sport: a Monte Carlo approach. Research Quarterly for Exercise and Sport 2011, 82:412-423. 10.5641/027013611X13275191443621.
33. Myers N.D., Ahn S., Jin Y. Exploratory structural equation modeling or confirmatory factor analysis for (Im)perfect validity studies?. Paper presented at the Modern modeling methods conference, Storrs, Connecticut, USA 2011.
34. Myers N.D., Ahn S., Jin Y. Rotation to a partially specified target matrix inexploratory factor analysis: how many targets?. Structural Equation Modeling: A Multidisciplinary Journal 2013, 20:131-147. 10.1080/10705511.2013.742399.
35. Myers N.D., Beauchamp M.R., Chase M.A. Coaching competency and satisfaction with the coach: a multilevel structural equation model. Journal of Sports Sciences 2011, 29:411-422. 10.1080/02640414.2010.538710.
36. Myers N.D., Chase M.A., Beauchamp M.R., Jackson B. The coaching competency scale II - high school teams. Educational and Psychological Measurement 2010, 70:477-494. 10.1177/0013164409344520.
37. Myers N.D., Chase M.A., Pierce S.W., Martin E. Coaching efficacy and exploratory structural equation modeling: a substantive-methodological synergy. Journal of Sport & Exercise Psychology 2011, 33:779-806. (PubMed).
38. Myers N.D., Feltz D.L., Chase M.A., Reckase M.D., Hancock G.R. The coaching efficacy scale II - high school teams. Educational and Psychological Measurement 2008, 68:1059-1076. 10.1177/0013164408318773.
39. Myers N.D., Feltz D.L., Maier K.S., Wolfe E.W., Reckase M.D. Athletes' evaluations of their head coach's coaching competency. Research Quarterly for Exercise and Sport 2006, 77:111-121. 10.5641/027013606X13080769704082.
40. Myers N.D., Feltz D.L., Wolfe E.W. Aconfirmatory study of ratingscale category effectiveness for the coaching efficacy scale. Research Quarterly for Exercise and Sport 2008, 79:300-311. 10.5641/193250308X13086832905752.
41. Myers N.D., Jin Y. Exploratory structural equation modeling and coaching competency. Routledge handbook of sports coaching 2013, 81-95. Routledge, London. P. Potrac, W. Gilbert, J. Dennison (Eds.).
42. Myers, N. D., Jin, Y., & Ahn, S. Rotation to a partially specified target matrix in exploratory factor analysis in practice. (submitted for publication).
43. Myers N.D., Wolfe E.W., Maier K.S., Feltz D.L., Reckase M.D. Extending validity evidence for multidimensional measures of coaching competency. Research Quarterly for Exercise and Sport 2006, 77:451-463. 10.5641/027013606X13080770015247.
44. National Association for Sport and Physical Education Quality coaches, quality sports: National standards for athletic coaches 2006, Author, Reston, VA. 2nd ed.
45. Nunnally J.C. Psychometric theory 1978, McGraw-Hill, New York. 2nd ed.
46. Rozeboom W.W. The glory of suboptimal factor rotation: why local minima in analytic optimization of simple structure are more blessing than curse. Multivariate Behavioral Research 1992, 27:585-599. 10.1207/s15327906mbr2704_5.
47. Ryu E., West S.G. Level-specific evaluation of model fit in multilevel structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal 2009, 16(4):583-601.
48. Smoll F.L., Smith R.E. Leadership behaviors in sport: a theoretical model and research paradigm. Journal of Applied Social Psychology 1989, 19:1522-1551. 10.1111/j.1559-1816.1989.tb01462.x.
49. Spearman C. "General intelligence, " objectively determined and measured. American Journal of Psychology 1904, 15:201-293. Retrieved from. http://www.jstor.org/stable/1412107.
50. Thurstone L.L. Multiple factor analysis 1947, University of Chicago Press, Chicago.
51. Special issue on structural equation modeling. Personality and Individual Differences 2007, 42. (Special issue), 5.
52. Yates A. Multivariate exploratory data analysis: A perspective on exploratory factor analysis 1987, State University of New York Press, Albany.
53. Yuan K.H., Bentler P.M. On chi-square difference and z tests in mean and covariance structure analysis when the base model is misspecified. Educational and Psychological Measurement 2004, 64(5):737-757. 10.1177/0013164404264853.